Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/14685
metadata.revistascielo.dc.title: STATISTICAL MODELS IN AGRICULTURE: BIOMETRICAL METHODS FOR EVALUATING PHENOTYPIC STABILITY IN PLANT BREEDING
metadata.revistascielo.dc.creator: Ferreira, Daniel Furtado
Demétrio, Clarice Garcia Borges
Manly, Bryan Frederick John
Machado, Amauri de Almeida
Vencovsky, Roland
metadata.revistascielo.dc.subject: AMMI, non-linear statistical models, linear regression models
metadata.revistascielo.dc.publisher: CERNE
CERNE
metadata.revistascielo.dc.date: 8-Oct-2015
metadata.revistascielo.dc.identifier: http://www.cerne.ufla.br/site/index.php/CERNE/article/view/572
metadata.revistascielo.dc.description: This paper reviews the main concepts of several methods of phenotypic stability analysis and points out their advantages and limitations. It was concluded that the simple linear regression method of Eberhart & Russel (1966) and the bi segmented regression method of Silva & Barreto (1985) have only historical importance nowadays. Moreover, based on factors discussed in the paper, it is recommended that the regression models of Toler & Burrows (1998) and the Additive Main effects and Multiplicative Interactions (AMMI) model should be used simultaneously to study and to estimate phenotypic stability effects.
metadata.revistascielo.dc.language: por
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